Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:52:32.409257
Analysis finished2020-08-25 00:53:34.260823
Duration1 minute and 1.85 second
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.610962837934494e-09
Minimum-1.7471632957458496
Maximum1.7183146476745603
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:34.307741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.747163296
5-th percentile-1.580385494
Q1-0.8507418931
median0.0164264543
Q30.8491293788
95-th percentile1.572365159
Maximum1.718314648
Range3.465477943
Interquartile range (IQR)1.699871272

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-383000472.7
Kurtosis-1.200385633
Mean-2.610962838e-09
Median Absolute Deviation (MAD)0.8573160069
Skewness0.01411757421
Sum-1.305481419e-06
Variance1.000000002
2020-08-25T00:53:34.410552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.198730334610.2%
 
1.38538038710.2%
 
0.571905612910.2%
 
-0.472798705110.2%
 
1.12362766310.2%
 
-1.62978029310.2%
 
0.345362305610.2%
 
-0.450500458510.2%
 
-0.530206263110.2%
 
-0.786430716510.2%
 
0.370944470210.2%
 
0.273099273410.2%
 
1.20642936210.2%
 
-1.46304285510.2%
 
1.49280071310.2%
 
0.0290318485310.2%
 
-1.10811245410.2%
 
0.791331112410.2%
 
0.976877510510.2%
 
0.606762707210.2%
 
0.951494514910.2%
 
-1.59280419310.2%
 
-1.10433280510.2%
 
1.64909970810.2%
 
0.0810962766410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74716329610.2%
 
-1.73872053610.2%
 
-1.73334610510.2%
 
-1.73263168310.2%
 
-1.72497093710.2%
 
-1.71203589410.2%
 
-1.69422626510.2%
 
-1.6887482410.2%
 
-1.68829715310.2%
 
-1.67583656310.2%
 
ValueCountFrequency (%) 
1.71831464810.2%
 
1.71093428110.2%
 
1.69000744810.2%
 
1.67566776310.2%
 
1.67426204710.2%
 
1.67023885310.2%
 
1.65303182610.2%
 
1.65054285510.2%
 
1.64931154310.2%
 
1.64912092710.2%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.809132173657418e-10
Minimum-1.8581604957580569
Maximum1.7971497774124146
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:34.525358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.858160496
5-th percentile-1.619080395
Q1-0.8060464263
median0.01291300775
Q30.7856421322
95-th percentile1.643292254
Maximum1.797149777
Range3.655310273
Interquartile range (IQR)1.591688558

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)1468615930
Kurtosis-0.9967602857
Mean6.809132174e-10
Median Absolute Deviation (MAD)0.7961931038
Skewness0.003850155715
Sum3.404566087e-07
Variance0.9999999963
2020-08-25T00:53:34.636633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0574350096310.2%
 
0.337079048210.2%
 
-1.43885600610.2%
 
1.62559974210.2%
 
0.0155992377510.2%
 
-0.0810929015310.2%
 
0.466950982810.2%
 
-0.766911566310.2%
 
-0.519843339910.2%
 
0.255527287710.2%
 
-1.78773570110.2%
 
0.0174658838710.2%
 
-1.53579270810.2%
 
1.55728340110.2%
 
0.079508408910.2%
 
1.09830915910.2%
 
0.217373833110.2%
 
0.734702765910.2%
 
0.754235804110.2%
 
-0.815759837610.2%
 
1.13994848710.2%
 
0.827488541610.2%
 
-0.0714537426810.2%
 
0.505224943210.2%
 
-1.85087621210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.85816049610.2%
 
-1.857173810.2%
 
-1.85623741110.2%
 
-1.85087621210.2%
 
-1.82763814910.2%
 
-1.80197095910.2%
 
-1.78843843910.2%
 
-1.78773570110.2%
 
-1.78236734910.2%
 
-1.77542614910.2%
 
ValueCountFrequency (%) 
1.79714977710.2%
 
1.7910194410.2%
 
1.79057514710.2%
 
1.78532576610.2%
 
1.77789044410.2%
 
1.77776575110.2%
 
1.77328789210.2%
 
1.77190053510.2%
 
1.76175463210.2%
 
1.75545585210.2%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.5156186893582346e-09
Minimum-1.6861032247543335
Maximum1.7073843479156494
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:34.761127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.686103225
5-th percentile-1.488646424
Q1-0.8965028673
median-0.004524767399
Q30.8963981569
95-th percentile1.539237845
Maximum1.707384348
Range3.393487573
Interquartile range (IQR)1.792901024

Descriptive statistics

Standard deviation0.9999999977
Coefficient of variation (CV)-397516524.2
Kurtosis-1.267662252
Mean-2.515618689e-09
Median Absolute Deviation (MAD)0.9020491242
Skewness0.01482759205
Sum-1.257809345e-06
Variance0.9999999954
2020-08-25T00:53:34.865928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.779296338610.2%
 
0.22986057410.2%
 
-0.391740202910.2%
 
-0.7502819310.2%
 
0.895271956910.2%
 
-0.567669451210.2%
 
0.770408153510.2%
 
-1.47323358110.2%
 
-0.984664261310.2%
 
0.781541049510.2%
 
-0.645799875310.2%
 
-0.795214891410.2%
 
-0.554986596110.2%
 
0.135573282810.2%
 
-0.241775244510.2%
 
-1.54748618610.2%
 
-1.23895335210.2%
 
0.378095358610.2%
 
0.455617874910.2%
 
-0.961251735710.2%
 
0.038716003310.2%
 
0.751294672510.2%
 
1.28774654910.2%
 
0.385161548910.2%
 
-1.47330367610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68610322510.2%
 
-1.68184387710.2%
 
-1.6812945610.2%
 
-1.67000198410.2%
 
-1.66285836710.2%
 
-1.63458025510.2%
 
-1.63159310810.2%
 
-1.62918508110.2%
 
-1.62679922610.2%
 
-1.62353384510.2%
 
ValueCountFrequency (%) 
1.70738434810.2%
 
1.70314323910.2%
 
1.69873619110.2%
 
1.6986051810.2%
 
1.69751822910.2%
 
1.69643235210.2%
 
1.69286632510.2%
 
1.6917921310.2%
 
1.67854607110.2%
 
1.67542612610.2%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.7983409129083157e-10
Minimum-1.7526443004608154
Maximum1.7743457555770874
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:34.980527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.7526443
5-th percentile-1.612711161
Q1-0.8217182606
median0.02171813743
Q30.813039124
95-th percentile1.552966011
Maximum1.774345756
Range3.526990056
Interquartile range (IQR)1.634757385

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-2632728398
Kurtosis-1.114193386
Mean-3.798340913e-10
Median Absolute Deviation (MAD)0.8176997602
Skewness-0.05020569648
Sum-1.899170456e-07
Variance0.9999999972
2020-08-25T00:53:35.083712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.19531607610.2%
 
-0.61847621210.2%
 
-1.73299574910.2%
 
-0.87040567410.2%
 
-1.64120471510.2%
 
-0.382666856110.2%
 
0.524707913410.2%
 
0.0791386291410.2%
 
0.875017583410.2%
 
0.934867978110.2%
 
1.2505999810.2%
 
1.29357075710.2%
 
1.04085028210.2%
 
-0.370939701810.2%
 
-0.794726550610.2%
 
0.766915261710.2%
 
0.564791023710.2%
 
-0.494299054110.2%
 
-0.469885408910.2%
 
-0.178922429710.2%
 
1.64584267110.2%
 
-0.731768488910.2%
 
-0.135090634210.2%
 
0.611434519310.2%
 
1.28776955610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.752644310.2%
 
-1.74584305310.2%
 
-1.73841834110.2%
 
-1.73639762410.2%
 
-1.73299574910.2%
 
-1.7235140810.2%
 
-1.72099435310.2%
 
-1.70778620210.2%
 
-1.70733392210.2%
 
-1.70505535610.2%
 
ValueCountFrequency (%) 
1.77434575610.2%
 
1.74724316610.2%
 
1.74462318410.2%
 
1.74385440310.2%
 
1.73596978210.2%
 
1.73337864910.2%
 
1.72449207310.2%
 
1.71920478310.2%
 
1.71474504510.2%
 
1.69592893110.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6710255312801792e-09
Minimum-1.6575403213500977
Maximum1.8058302402496336
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:35.199663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.657540321
5-th percentile-1.499566323
Q1-0.8780311495
median-0.07746212184
Q30.9232334495
95-th percentile1.54963814
Maximum1.80583024
Range3.463370562
Interquartile range (IQR)1.801264599

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)598434901.7
Kurtosis-1.237075727
Mean1.671025531e-09
Median Absolute Deviation (MAD)0.9175212532
Skewness0.06247073136
Sum8.355127656e-07
Variance0.9999999992
2020-08-25T00:53:35.305194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.789062440410.2%
 
-0.319503098710.2%
 
-0.137284174610.2%
 
1.05591201810.2%
 
-0.987615644910.2%
 
0.0794278532310.2%
 
1.01431369810.2%
 
-0.121378272810.2%
 
-0.809893608110.2%
 
0.89387905610.2%
 
0.0458578206610.2%
 
-0.44164007910.2%
 
-1.09200346510.2%
 
1.34050667310.2%
 
0.885375738110.2%
 
1.12567055210.2%
 
0.78063625110.2%
 
-0.226403012910.2%
 
-0.513311684110.2%
 
-0.506205320410.2%
 
-0.451975166810.2%
 
-1.51241350210.2%
 
1.49483716510.2%
 
0.431327104610.2%
 
-1.38547134410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65754032110.2%
 
-1.65232551110.2%
 
-1.64804375210.2%
 
-1.64487171210.2%
 
-1.64290022910.2%
 
-1.61281180410.2%
 
-1.61132037610.2%
 
-1.60674166710.2%
 
-1.60417115710.2%
 
-1.59617054510.2%
 
ValueCountFrequency (%) 
1.8058302410.2%
 
1.80165779610.2%
 
1.79549217210.2%
 
1.79509472810.2%
 
1.79397904910.2%
 
1.77495729910.2%
 
1.73616993410.2%
 
1.73253405110.2%
 
1.7257951510.2%
 
1.72444510510.2%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.029746823012829e-11
Minimum-1.6582350730895996
Maximum1.6955008506774902
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:35.421824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.658235073
5-th percentile-1.525037658
Q1-0.8434772342
median-0.04789113998
Q30.9105407149
95-th percentile1.497523606
Maximum1.695500851
Range3.353735924
Interquartile range (IQR)1.754017949

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1.245369279e+10
Kurtosis-1.294252957
Mean8.029746823e-11
Median Absolute Deviation (MAD)0.8783118725
Skewness0.00561364028
Sum4.014873412e-08
Variance1.000000002
2020-08-25T00:53:35.530051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.592772543410.2%
 
1.32679295510.2%
 
-1.25839018810.2%
 
-1.0767500410.2%
 
-0.431790351910.2%
 
-1.30136644810.2%
 
0.943142592910.2%
 
1.41074395210.2%
 
-0.4029799710.2%
 
1.65098404910.2%
 
-1.37950193910.2%
 
-0.97295701510.2%
 
-0.416165888310.2%
 
0.910457551510.2%
 
-0.301909297710.2%
 
0.551832377910.2%
 
0.323416948310.2%
 
1.01430106210.2%
 
1.67225623110.2%
 
-0.512037217610.2%
 
-0.516563594310.2%
 
1.63736128810.2%
 
-0.906740903910.2%
 
-1.41863036210.2%
 
0.9602952610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65823507310.2%
 
-1.65462386610.2%
 
-1.65317904910.2%
 
-1.65218734710.2%
 
-1.64116132310.2%
 
-1.63231384810.2%
 
-1.6308541310.2%
 
-1.63076841810.2%
 
-1.63047695210.2%
 
-1.62844884410.2%
 
ValueCountFrequency (%) 
1.69550085110.2%
 
1.68221211410.2%
 
1.67747724110.2%
 
1.67225623110.2%
 
1.65098404910.2%
 
1.65036737910.2%
 
1.64376664210.2%
 
1.63736128810.2%
 
1.6324175610.2%
 
1.61798763310.2%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.816109478473664e-10
Minimum-1.686819553375244
Maximum1.7857917547225952
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:35.647101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.686819553
5-th percentile-1.56480903
Q1-0.786065504
median-0.02862458955
Q30.7841100544
95-th percentile1.638231629
Maximum1.785791755
Range3.472611308
Interquartile range (IQR)1.570175558

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1719362409
Kurtosis-1.054881515
Mean-5.816109478e-10
Median Absolute Deviation (MAD)0.7821418047
Skewness0.06846604892
Sum-2.908054739e-07
Variance1.000000001
2020-08-25T00:53:35.754583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.676757693310.2%
 
-1.50654125210.2%
 
0.36050662410.2%
 
0.258144438310.2%
 
0.247005790510.2%
 
-0.159990608710.2%
 
1.1263221510.2%
 
-0.728831589210.2%
 
1.50676274310.2%
 
0.0347488485310.2%
 
-0.638015866310.2%
 
1.50324809610.2%
 
-1.49480533610.2%
 
-1.60675013110.2%
 
-1.68681955310.2%
 
1.6295907510.2%
 
-0.248139038710.2%
 
1.35224831110.2%
 
0.446461588110.2%
 
0.388355761810.2%
 
0.384450972110.2%
 
0.224941030110.2%
 
1.73703157910.2%
 
0.412286311410.2%
 
-0.522758066710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68681955310.2%
 
-1.68004691610.2%
 
-1.67941343810.2%
 
-1.67322123110.2%
 
-1.67228519910.2%
 
-1.66591513210.2%
 
-1.66075944910.2%
 
-1.65892040710.2%
 
-1.65718662710.2%
 
-1.6281312710.2%
 
ValueCountFrequency (%) 
1.78579175510.2%
 
1.78259062810.2%
 
1.77550029810.2%
 
1.77465331610.2%
 
1.77327215710.2%
 
1.76975715210.2%
 
1.76942026610.2%
 
1.76877927810.2%
 
1.76593518310.2%
 
1.75627565410.2%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.493646615979287e-10
Minimum-1.6704294681549072
Maximum1.6714586019515991
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:35.872627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.670429468
5-th percentile-1.518071872
Q1-0.8989958316
median0.01031782292
Q30.8889294714
95-th percentile1.503791887
Maximum1.671458602
Range3.34188807
Interquartile range (IQR)1.787925303

Descriptive statistics

Standard deviation0.9999999972
Coefficient of variation (CV)1539966765
Kurtosis-1.318201542
Mean6.493646616e-10
Median Absolute Deviation (MAD)0.8981811311
Skewness-0.03184713581
Sum3.246823308e-07
Variance0.9999999944
2020-08-25T00:53:35.976446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.00805659592210.2%
 
-1.30337107210.2%
 
-0.450344085710.2%
 
1.05604219410.2%
 
1.12950766110.2%
 
-1.23498034510.2%
 
1.5842926510.2%
 
1.49084341510.2%
 
1.36193895310.2%
 
1.66662836110.2%
 
-0.723942220210.2%
 
1.18932795510.2%
 
-0.501288652410.2%
 
1.38409364210.2%
 
1.05922830110.2%
 
0.740554630810.2%
 
1.110056410.2%
 
0.165119200910.2%
 
0.981766343110.2%
 
-1.60452544710.2%
 
-0.596027672310.2%
 
1.48112285110.2%
 
0.815758287910.2%
 
0.504320204310.2%
 
0.894861638510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67042946810.2%
 
-1.66798484310.2%
 
-1.66389095810.2%
 
-1.65882527810.2%
 
-1.65670049210.2%
 
-1.65643072110.2%
 
-1.64023315910.2%
 
-1.62783265110.2%
 
-1.62717914610.2%
 
-1.61696326710.2%
 
ValueCountFrequency (%) 
1.67145860210.2%
 
1.66923308410.2%
 
1.66662836110.2%
 
1.66309952710.2%
 
1.6543458710.2%
 
1.65332615410.2%
 
1.64481961710.2%
 
1.61185085810.2%
 
1.60869026210.2%
 
1.60165047610.2%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7583370208740233e-09
Minimum-1.7324672937393188
Maximum1.766093373298645
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:36.263720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.732467294
5-th percentile-1.574583483
Q1-0.8344771862
median-0.0007834737189
Q30.7901213169
95-th percentile1.614668256
Maximum1.766093373
Range3.498560667
Interquartile range (IQR)1.624598503

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-568719185.8
Kurtosis-1.108467069
Mean-1.758337021e-09
Median Absolute Deviation (MAD)0.8213447332
Skewness-0.01742962741
Sum-8.791685104e-07
Variance0.9999999978
2020-08-25T00:53:36.368845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57421624710.2%
 
1.29226505810.2%
 
0.531572759210.2%
 
-0.463807582910.2%
 
-1.05338835710.2%
 
-1.41862702410.2%
 
-1.62956619310.2%
 
1.02721536210.2%
 
0.649080216910.2%
 
1.19598364810.2%
 
0.280160695310.2%
 
-1.57294535610.2%
 
-1.01826989710.2%
 
0.780379056910.2%
 
1.6393706810.2%
 
-1.61789274210.2%
 
-1.26639354210.2%
 
1.51828396310.2%
 
-0.0750723704710.2%
 
-1.4245450510.2%
 
1.56321895110.2%
 
1.11205124910.2%
 
-0.473939120810.2%
 
-0.70934891710.2%
 
0.847045540810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73246729410.2%
 
-1.72375214110.2%
 
-1.72344493910.2%
 
-1.72055602110.2%
 
-1.7183127410.2%
 
-1.71463978310.2%
 
-1.71030080310.2%
 
-1.7008409510.2%
 
-1.69955754310.2%
 
-1.69426429310.2%
 
ValueCountFrequency (%) 
1.76609337310.2%
 
1.76494276510.2%
 
1.76461291310.2%
 
1.76367938510.2%
 
1.74477970610.2%
 
1.73333990610.2%
 
1.73304855810.2%
 
1.73196303810.2%
 
1.73016023610.2%
 
1.71684980410.2%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.00722536444664e-09
Minimum-1.694807767868042
Maximum1.8020342588424685
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:36.486736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.694807768
5-th percentile-1.526615119
Q1-0.8416771889
median-0.02886007819
Q30.856801331
95-th percentile1.58217805
Maximum1.802034259
Range3.496842027
Interquartile range (IQR)1.69847852

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)992826465.9
Kurtosis-1.160133425
Mean1.007225364e-09
Median Absolute Deviation (MAD)0.855534778
Skewness0.06542687343
Sum5.036126822e-07
Variance0.9999999979
2020-08-25T00:53:36.592170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.3906234510.2%
 
1.70769071610.2%
 
-0.688738346110.2%
 
0.87726581110.2%
 
-0.132450059110.2%
 
0.244219228610.2%
 
-1.40492820710.2%
 
0.615551829310.2%
 
-0.424963980910.2%
 
1.36196529910.2%
 
-1.6197850710.2%
 
-0.44352129110.2%
 
1.41313552910.2%
 
1.16275942310.2%
 
1.53968644110.2%
 
0.115815199910.2%
 
-0.71256709110.2%
 
-0.259443551310.2%
 
0.156577765910.2%
 
0.997405111810.2%
 
-1.37176835510.2%
 
0.85190081610.2%
 
1.09002721310.2%
 
-0.472339242710.2%
 
-1.584526310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69480776810.2%
 
-1.68305122910.2%
 
-1.66097307210.2%
 
-1.65925383610.2%
 
-1.64867055410.2%
 
-1.64702224710.2%
 
-1.64500641810.2%
 
-1.63963758910.2%
 
-1.62732255510.2%
 
-1.62274825610.2%
 
ValueCountFrequency (%) 
1.80203425910.2%
 
1.78807604310.2%
 
1.78070890910.2%
 
1.77840149410.2%
 
1.77634465710.2%
 
1.77592849710.2%
 
1.74997484710.2%
 
1.73498272910.2%
 
1.73229217510.2%
 
1.71645975110.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.855675458908081e-10
Minimum-1.633472204208374
Maximum1.7388654947280884
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:36.712433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.633472204
5-th percentile-1.469415915
Q1-0.8607674837
median-0.03909373842
Q30.8596504033
95-th percentile1.563615441
Maximum1.738865495
Range3.372337699
Interquartile range (IQR)1.720417887

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)2593579283
Kurtosis-1.292679842
Mean3.855675459e-10
Median Absolute Deviation (MAD)0.8811726626
Skewness0.05209342526
Sum1.927837729e-07
Variance0.9999999986
2020-08-25T00:53:36.821356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.151349633910.2%
 
-0.753253221510.2%
 
0.847960591310.2%
 
0.0944712534510.2%
 
-0.481818795210.2%
 
0.726870417610.2%
 
0.494782924710.2%
 
0.21492123610.2%
 
0.785467624710.2%
 
-0.822579920310.2%
 
1.06752324110.2%
 
1.26039707710.2%
 
-1.60610365910.2%
 
0.536344170610.2%
 
0.580401003410.2%
 
1.45833206210.2%
 
0.206874713310.2%
 
0.960889935510.2%
 
-1.63347220410.2%
 
-0.15187141310.2%
 
1.35675692610.2%
 
-1.3541842710.2%
 
0.348313212410.2%
 
-0.930026769610.2%
 
-0.127828821510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.63347220410.2%
 
-1.62222540410.2%
 
-1.61831104810.2%
 
-1.60871815710.2%
 
-1.60610365910.2%
 
-1.60445129910.2%
 
-1.59656381610.2%
 
-1.59164524110.2%
 
-1.57091140710.2%
 
-1.56272256410.2%
 
ValueCountFrequency (%) 
1.73886549510.2%
 
1.73059737710.2%
 
1.73046064410.2%
 
1.72190773510.2%
 
1.71803724810.2%
 
1.71085846410.2%
 
1.69738566910.2%
 
1.69231498210.2%
 
1.68953335310.2%
 
1.6729031810.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6298145055770874e-09
Minimum-1.7265355587005615
Maximum1.7033381462097168
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:36.936874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726535559
5-th percentile-1.548630071
Q1-0.8351882249
median-0.04615074769
Q30.8854094446
95-th percentile1.559336376
Maximum1.703338146
Range3.429873705
Interquartile range (IQR)1.720597669

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-613566757.2
Kurtosis-1.197421801
Mean-1.629814506e-09
Median Absolute Deviation (MAD)0.8702409863
Skewness-0.0004994957253
Sum-8.149072528e-07
Variance1.000000002
2020-08-25T00:53:37.040707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.578124165510.2%
 
0.303428232710.2%
 
0.339408755310.2%
 
-0.781590998210.2%
 
-0.218103095910.2%
 
-1.21162712610.2%
 
-0.145606666810.2%
 
1.38741254810.2%
 
-0.306327253610.2%
 
0.545315504110.2%
 
0.187099665410.2%
 
0.64293271310.2%
 
-1.45969879610.2%
 
0.5327078710.2%
 
1.19603514710.2%
 
-1.62768173210.2%
 
-0.107837259810.2%
 
1.10424721210.2%
 
-1.43432712610.2%
 
-0.226232051810.2%
 
-0.286318391610.2%
 
-0.110031932610.2%
 
1.53981113410.2%
 
0.730342924610.2%
 
1.48513197910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72653555910.2%
 
-1.72364771410.2%
 
-1.72316396210.2%
 
-1.70574390910.2%
 
-1.70479035410.2%
 
-1.69089591510.2%
 
-1.69085633810.2%
 
-1.68601620210.2%
 
-1.6712809810.2%
 
-1.67039787810.2%
 
ValueCountFrequency (%) 
1.70333814610.2%
 
1.69924664510.2%
 
1.69226181510.2%
 
1.68936812910.2%
 
1.68919789810.2%
 
1.68470811810.2%
 
1.6781843910.2%
 
1.67000424910.2%
 
1.66427516910.2%
 
1.66208934810.2%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.672895783817353e-09
Minimum-1.7217791080474854
Maximum1.7048485279083252
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:37.158772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.721779108
5-th percentile-1.538801974
Q1-0.8542582989
median-0.02126562968
Q30.8777955621
95-th percentile1.567099923
Maximum1.704848528
Range3.426627636
Interquartile range (IQR)1.732053861

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)374126071.6
Kurtosis-1.208265766
Mean2.672895784e-09
Median Absolute Deviation (MAD)0.8679240979
Skewness-0.02140924053
Sum1.336447892e-06
Variance0.999999999
2020-08-25T00:53:37.264739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.57226073710.2%
 
1.1028168210.2%
 
-1.1022138610.2%
 
0.674154400810.2%
 
-0.795250296610.2%
 
1.40835654710.2%
 
-1.09442126810.2%
 
0.576507747210.2%
 
0.177330747210.2%
 
1.061818610.2%
 
-0.429774552610.2%
 
-0.522805094710.2%
 
-1.36201906210.2%
 
-1.33166289310.2%
 
-1.32632875410.2%
 
-0.760116815610.2%
 
-1.30155134210.2%
 
-0.100814998110.2%
 
1.2682950510.2%
 
1.63157761110.2%
 
-0.164885461310.2%
 
1.14330565910.2%
 
0.0675505250710.2%
 
-1.38940906510.2%
 
1.53394329510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72177910810.2%
 
-1.7174156910.2%
 
-1.71635568110.2%
 
-1.71042513810.2%
 
-1.70722019710.2%
 
-1.70486950910.2%
 
-1.70112681410.2%
 
-1.69605600810.2%
 
-1.68808805910.2%
 
-1.6836781510.2%
 
ValueCountFrequency (%) 
1.70484852810.2%
 
1.68873131310.2%
 
1.6844787610.2%
 
1.66995215410.2%
 
1.65451145210.2%
 
1.6511075510.2%
 
1.64853417910.2%
 
1.64009857210.2%
 
1.63882648910.2%
 
1.63696253310.2%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9955914467573165e-09
Minimum-1.8064064979553225
Maximum1.6882878541946411
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:37.383312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.806406498
5-th percentile-1.605577892
Q1-0.827502057
median0.003650187689
Q30.8527093977
95-th percentile1.507343727
Maximum1.688287854
Range3.494694352
Interquartile range (IQR)1.680211455

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)501104574.3
Kurtosis-1.152695518
Mean1.995591447e-09
Median Absolute Deviation (MAD)0.8363646567
Skewness-0.05643409847
Sum9.977957234e-07
Variance1.000000005
2020-08-25T00:53:37.487569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.7812484510.2%
 
1.10610866510.2%
 
0.438325107110.2%
 
-1.02382910310.2%
 
1.15881514510.2%
 
-1.36389553510.2%
 
-0.526058018210.2%
 
0.325635731210.2%
 
-1.37953126410.2%
 
-0.0382961742610.2%
 
-1.74351060410.2%
 
1.07803475910.2%
 
-1.78579044310.2%
 
0.808912098410.2%
 
-0.0603226572310.2%
 
-0.546221733110.2%
 
0.574575245410.2%
 
1.18424594410.2%
 
-0.494584828610.2%
 
-0.183887869110.2%
 
-1.0768330110.2%
 
1.15496027510.2%
 
1.51043009810.2%
 
0.742521822510.2%
 
-0.584319591510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.80640649810.2%
 
-1.79933798310.2%
 
-1.79903304610.2%
 
-1.79443454710.2%
 
-1.79017257710.2%
 
-1.78656184710.2%
 
-1.78579044310.2%
 
-1.78223514610.2%
 
-1.7812484510.2%
 
-1.7792388210.2%
 
ValueCountFrequency (%) 
1.68828785410.2%
 
1.67026579410.2%
 
1.65802550310.2%
 
1.65778994610.2%
 
1.65302288510.2%
 
1.65294194210.2%
 
1.64940917510.2%
 
1.64931404610.2%
 
1.64768242810.2%
 
1.642889510.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.491280272603035e-09
Minimum-1.6540642976760864
Maximum1.7244797945022583
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:37.605516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.654064298
5-th percentile-1.521573228
Q1-0.8903991729
median0.02855855972
Q30.9022503793
95-th percentile1.571266574
Maximum1.724479795
Range3.378544092
Interquartile range (IQR)1.792649552

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)670564760.4
Kurtosis-1.251273689
Mean1.491280273e-09
Median Absolute Deviation (MAD)0.8895263895
Skewness-0.01622090852
Sum7.456401363e-07
Variance0.9999999973
2020-08-25T00:53:37.710526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0771483331910.2%
 
-0.931971430810.2%
 
-0.487940281610.2%
 
-0.46157944210.2%
 
-0.82550430310.2%
 
0.71124762310.2%
 
1.2096167810.2%
 
0.141332820110.2%
 
-0.182208448610.2%
 
-0.582340717310.2%
 
-1.62954485410.2%
 
-1.61587381410.2%
 
-0.108473248810.2%
 
-0.394692748810.2%
 
-0.501109361610.2%
 
-0.691733598710.2%
 
0.465996146210.2%
 
-0.558924257810.2%
 
0.510375678510.2%
 
1.23510444210.2%
 
0.124001838310.2%
 
0.192708224110.2%
 
0.581523954910.2%
 
0.0403654314610.2%
 
-0.937159597910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65406429810.2%
 
-1.64965271910.2%
 
-1.6457705510.2%
 
-1.63798391810.2%
 
-1.63776898410.2%
 
-1.63769805410.2%
 
-1.63726091410.2%
 
-1.62954485410.2%
 
-1.62587201610.2%
 
-1.62574899210.2%
 
ValueCountFrequency (%) 
1.72447979510.2%
 
1.71830344210.2%
 
1.71544325410.2%
 
1.71352624910.2%
 
1.7122718110.2%
 
1.6928143510.2%
 
1.6738830810.2%
 
1.66436445710.2%
 
1.65996897210.2%
 
1.65246427110.2%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.762588888406753e-10
Minimum-1.6078615188598633
Maximum1.725706696510315
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:37.828579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.607861519
5-th percentile-1.471296048
Q1-0.9127465785
median-0.01737210061
Q30.8850876093
95-th percentile1.59841888
Maximum1.725706697
Range3.333568215
Interquartile range (IQR)1.797834188

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1024318460
Kurtosis-1.241945456
Mean9.762588888e-10
Median Absolute Deviation (MAD)0.9028804302
Skewness0.08016043539
Sum4.881294444e-07
Variance1.000000003
2020-08-25T00:53:37.932763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.973631024410.2%
 
-0.729834258610.2%
 
0.106129147110.2%
 
0.851028025210.2%
 
1.40494263210.2%
 
-0.0774330124310.2%
 
0.1729559610.2%
 
1.39991378810.2%
 
-0.471355944910.2%
 
0.835290014710.2%
 
1.71159756210.2%
 
1.29949939310.2%
 
1.43621921510.2%
 
-0.502290248910.2%
 
0.147057905810.2%
 
-1.08857488610.2%
 
-0.704472303410.2%
 
1.41865897210.2%
 
-1.27412927210.2%
 
-0.231461882610.2%
 
0.0706319659910.2%
 
1.69184577510.2%
 
0.259941995110.2%
 
1.00539362410.2%
 
0.753285646410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.60786151910.2%
 
-1.60462164910.2%
 
-1.59850299410.2%
 
-1.59099900710.2%
 
-1.59068453310.2%
 
-1.58896732310.2%
 
-1.5851203210.2%
 
-1.58459544210.2%
 
-1.57427871210.2%
 
-1.57338523910.2%
 
ValueCountFrequency (%) 
1.72570669710.2%
 
1.72569537210.2%
 
1.71603703510.2%
 
1.71159756210.2%
 
1.71139693310.2%
 
1.70531666310.2%
 
1.70402252710.2%
 
1.70060086310.2%
 
1.69778096710.2%
 
1.69184577510.2%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7667189240455628e-09
Minimum-1.6774009466171265
Maximum1.690410852432251
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:38.048889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.677400947
5-th percentile-1.514307618
Q1-0.8307096511
median-0.06615553796
Q30.8909476846
95-th percentile1.526425451
Maximum1.690410852
Range3.367811799
Interquartile range (IQR)1.721657336

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)566020994.1
Kurtosis-1.267862001
Mean1.766718924e-09
Median Absolute Deviation (MAD)0.8658210039
Skewness0.03713083983
Sum8.83359462e-07
Variance1.000000003
2020-08-25T00:53:38.151551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.3378869310.2%
 
1.18630540410.2%
 
0.281895518310.2%
 
0.705394387210.2%
 
-0.0931225940610.2%
 
1.3717315210.2%
 
0.585402965510.2%
 
-0.201823607110.2%
 
1.16080367610.2%
 
1.24088442310.2%
 
-0.428385406710.2%
 
-1.0401494510.2%
 
-0.86068135510.2%
 
-0.973966300510.2%
 
1.15812504310.2%
 
-0.612648785110.2%
 
-0.482609093210.2%
 
1.26612865910.2%
 
1.46240425110.2%
 
-1.41475820510.2%
 
0.363795280510.2%
 
0.81314736610.2%
 
-1.12765896310.2%
 
-0.399103134910.2%
 
0.765981137810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67740094710.2%
 
-1.66503214810.2%
 
-1.65979719210.2%
 
-1.65662372110.2%
 
-1.63993644710.2%
 
-1.63522291210.2%
 
-1.63383185910.2%
 
-1.62299954910.2%
 
-1.61817562610.2%
 
-1.60015904910.2%
 
ValueCountFrequency (%) 
1.69041085210.2%
 
1.68023264410.2%
 
1.67956566810.2%
 
1.67889165910.2%
 
1.67592573210.2%
 
1.65699815810.2%
 
1.65180659310.2%
 
1.63330662310.2%
 
1.63063144710.2%
 
1.63044285810.2%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0095536708831788e-09
Minimum-1.8634592294692995
Maximum1.6829856634140017
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:38.267676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.863459229
5-th percentile-1.660276157
Q1-0.9106825888
median0.07056932151
Q30.8856717646
95-th percentile1.518587208
Maximum1.682985663
Range3.546444893
Interquartile range (IQR)1.796354353

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)990536740.3
Kurtosis-1.134994259
Mean1.009553671e-09
Median Absolute Deviation (MAD)0.8822542727
Skewness-0.1359828154
Sum5.047768354e-07
Variance1.000000005
2020-08-25T00:53:38.372019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.937499225110.2%
 
-0.0088556986310.2%
 
0.956698656110.2%
 
0.489914268310.2%
 
-0.698580205410.2%
 
-1.22760009810.2%
 
-1.53484392210.2%
 
0.361011862810.2%
 
0.278492689110.2%
 
0.395193755610.2%
 
0.68220311410.2%
 
0.481621265410.2%
 
0.124711871110.2%
 
1.30930268810.2%
 
0.798743307610.2%
 
0.346186310110.2%
 
0.700940370610.2%
 
0.0779237374710.2%
 
-1.11596560510.2%
 
-0.856812655910.2%
 
0.834355294710.2%
 
-0.809941649410.2%
 
0.842857122410.2%
 
0.130953714310.2%
 
-1.24880647710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.86345922910.2%
 
-1.85836470110.2%
 
-1.85195875210.2%
 
-1.84991967710.2%
 
-1.83215832710.2%
 
-1.82768285310.2%
 
-1.80855357610.2%
 
-1.80549585810.2%
 
-1.79765427110.2%
 
-1.78833448910.2%
 
ValueCountFrequency (%) 
1.68298566310.2%
 
1.67860424510.2%
 
1.67630207510.2%
 
1.66034352810.2%
 
1.65670001510.2%
 
1.64225828610.2%
 
1.63104069210.2%
 
1.62049734610.2%
 
1.61772704110.2%
 
1.61188697810.2%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.005889314295245e-10
Minimum-1.7180458307266235
Maximum1.756893754005432
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:38.504150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.718045831
5-th percentile-1.571875477
Q1-0.8514530808
median0.001271361951
Q30.8807038516
95-th percentile1.52743234
Maximum1.756893754
Range3.474939585
Interquartile range (IQR)1.732156932

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)1110384509
Kurtosis-1.187871945
Mean9.005889314e-10
Median Absolute Deviation (MAD)0.8611615547
Skewness-0.004746594405
Sum4.502944657e-07
Variance0.9999999968
2020-08-25T00:53:38.616269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.01364505310.2%
 
0.523813545710.2%
 
0.1802619110.2%
 
-0.853862464410.2%
 
-1.34444534810.2%
 
1.57296967510.2%
 
-1.22727155710.2%
 
-0.0859820693710.2%
 
-0.609732210610.2%
 
-0.799444019810.2%
 
-0.715202510410.2%
 
0.426938325210.2%
 
0.366545617610.2%
 
-0.515991628210.2%
 
-0.0418845862210.2%
 
1.72514975110.2%
 
-1.36801445510.2%
 
1.45974600310.2%
 
-1.58517372610.2%
 
1.3913923510.2%
 
-0.396189242610.2%
 
0.575496852410.2%
 
0.690826952510.2%
 
0.807038307210.2%
 
1.64337909210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71804583110.2%
 
-1.7150683410.2%
 
-1.71028387510.2%
 
-1.70532989510.2%
 
-1.70315742510.2%
 
-1.69394838810.2%
 
-1.69259750810.2%
 
-1.69172167810.2%
 
-1.68780410310.2%
 
-1.67707288310.2%
 
ValueCountFrequency (%) 
1.75689375410.2%
 
1.75605702410.2%
 
1.74542224410.2%
 
1.73890805210.2%
 
1.72694122810.2%
 
1.72514975110.2%
 
1.72216689610.2%
 
1.72165179310.2%
 
1.70397877710.2%
 
1.66640567810.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.132728695869446e-10
Minimum-2.6503686904907227
Maximum2.591550588607788
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:53:38.736105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.65036869
5-th percentile-1.578483433
Q1-0.7081125826
median-0.03281798493
Q30.7001439184
95-th percentile1.675869912
Maximum2.591550589
Range5.241919279
Interquartile range (IQR)1.408256501

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)-4688828920
Kurtosis-0.4364493785
Mean-2.132728696e-10
Median Absolute Deviation (MAD)0.7152340412
Skewness0.02573853512
Sum-1.066364348e-07
Variance0.9999999973
2020-08-25T00:53:38.833739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.01266908610.2%
 
-1.46945226210.2%
 
-0.0937095731510.2%
 
-1.00617933310.2%
 
-0.508137822210.2%
 
-0.232015967410.2%
 
1.45769202710.2%
 
0.552961766710.2%
 
-0.775722503710.2%
 
0.845065236110.2%
 
0.693698942710.2%
 
-0.747411549110.2%
 
-0.28889575610.2%
 
0.947611510810.2%
 
0.546895265610.2%
 
-0.267732441410.2%
 
0.916458487510.2%
 
1.22727537210.2%
 
1.75462043310.2%
 
0.716178059610.2%
 
0.575557291510.2%
 
-0.072554968310.2%
 
-0.77215361610.2%
 
0.666355967510.2%
 
0.0463478937710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.6503686910.2%
 
-2.56525254210.2%
 
-2.41617131210.2%
 
-2.2901961810.2%
 
-2.26554226910.2%
 
-2.24122357410.2%
 
-2.08341789210.2%
 
-2.05384683610.2%
 
-2.03319668810.2%
 
-1.95693135310.2%
 
ValueCountFrequency (%) 
2.59155058910.2%
 
2.41535091410.2%
 
2.40432739310.2%
 
2.3070876610.2%
 
2.27649688710.2%
 
2.19817829110.2%
 
2.15286207210.2%
 
2.05780124710.2%
 
2.05218744310.2%
 
2.02098274210.2%
 

Interactions

2020-08-25T00:52:33.552094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:33.696092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:33.850515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:33.993189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.140427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.281157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.421439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.563145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.703840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.845495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:34.992330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:35.136319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:35.284138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:35.428198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:35.570319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:35.712469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.022735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.162848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.307614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.447247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.578146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.723268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:36.873674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.018456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.165705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.325289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.476426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.621995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.767059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:37.935402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.083835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.229609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.378155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.522565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.666761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.815147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:38.966026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.117856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.266465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.413831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.552478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.692277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.838157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:39.980569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:40.122504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:40.441204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:40.583234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:40.725174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:40.867919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.013949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.160291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.300558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.442456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.582214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.721733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:41.865377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.006030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.150720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.296299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.450272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.596283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.744282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:42.895054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.045695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.188746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.328834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.478716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.620322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.763210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:43.911991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.052365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.191925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.331797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.472874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.796067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:44.936213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:53:15.790023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:15.931824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.078200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.240479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.461856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.620293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.838903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:16.983673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.124223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.265308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.405495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.546123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.687083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.826741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:17.967980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.108965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.254502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.395489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.528471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.668028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.828679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:18.971394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.113258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.254907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.575282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.715188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.855963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:19.997507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.139419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.279667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.427123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.569239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.711010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:20.852468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.006348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.148964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.298139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.440132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.574433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.718587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:21.861723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.002963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.141978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.281526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.427899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.571917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.711342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.851799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:22.992966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:23.133932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:23.276460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:23.419327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:23.561566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:23.880705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.023233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.165082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.311225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.451715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.584538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.729259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:24.877470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.024771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.171103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.316539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.464667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.611970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.757443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:25.902615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.048558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.194208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.365660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.512143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.664151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.809716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:26.954665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.101047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.249613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.397369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.541243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.684755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.831609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:27.978595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:28.307459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:28.447925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:28.599759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:28.743120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:28.895415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.036965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.180862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.321680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.466310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.614514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.760361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:29.906453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.046592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.192061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.341024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.486181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.626451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.755654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:30.889233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.027147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.162510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.296196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.432085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.563279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.696507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.825823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:31.960243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.090332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.222078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.354138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.665361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.795308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:32.925513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:33.067331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:33.216600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:33.352341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:53:38.992736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:53:39.490457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:53:39.814187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:53:40.121163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:53:33.638926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:34.110933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
0-1.505064-0.1740590.637760-0.4423181.055029-0.353406-1.198268-0.5043650.5725670.6286551.321188-1.6129800.3010230.690134-0.6907241.220834-0.6658790.418570-0.768571-0.341147
1-0.8534620.7245260.830798-0.491836-0.2145390.4484591.590616-1.290679-0.100548-1.5437451.4470061.1042471.5802200.026112-1.2372671.405890-1.104541-0.323477-0.891873-0.650128
20.452650-0.207984-1.0877751.381185-1.320439-1.340826-1.123355-0.677708-0.328489-1.344615-1.3081090.1606931.076004-0.7731041.2744641.2557740.8924060.2921780.4401921.741230
30.0829550.8081620.2390930.480976-0.809894-0.272963-1.4509751.510054-0.605711-0.6637130.743956-0.1999930.7989341.296659-0.931971-0.757812-0.2875751.058174-0.257676-0.668978
41.3094691.225286-1.2389530.1735360.4091440.566066-0.248139-1.5541441.0091570.5428930.9066641.6642750.501401-0.4269061.0574901.7006011.593622-1.4953710.7250271.754620
51.1348930.999270-0.1609700.3696280.909864-1.266678-0.3686400.5067151.069554-1.4882631.2614680.730343-0.3505360.705133-0.7062381.5113771.2560551.3465620.4716860.474040
60.3392720.454730-1.2845671.719205-0.018684-0.8762421.5702280.330923-0.2353630.4914710.4671561.2243370.036478-0.0603230.0255341.697781-0.723850-0.7206091.5151510.975763
7-0.3803140.9719761.050594-1.690639-1.075788-1.300550-1.424746-0.535453-0.8791370.315323-0.822580-1.555818-1.4382880.3614961.508542-0.717566-1.544875-1.849920-0.2768521.121852
8-0.9775671.1660960.6988620.149945-1.431358-0.6248670.863186-1.2992920.1395071.0480050.088455-1.402955-1.3620191.332246-0.417876-1.5985030.9269830.928510-1.0640610.298688
90.222449-0.4948590.8997770.943965-1.2756951.143530-0.6720380.2010641.564187-0.424964-0.0332491.662089-1.361696-1.1350131.044852-0.686318-1.6597971.0218711.6108961.545625

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
490-1.6129901.7719010.1302030.7386141.055912-1.4384250.373275-0.847456-1.603104-1.0238001.0679200.711610-1.2274680.1542210.995975-1.304563-0.6290470.9701190.0557270.666356
4910.733756-0.440204-0.240501-1.044473-0.3329701.677477-1.3838501.1826471.500516-1.0709151.1280461.106769-0.9551870.269940-0.001816-0.285052-0.216652-1.317195-1.0230931.893754
4920.3751921.098309-0.645800-0.329431-0.0450411.1879791.3858181.129508-1.700841-1.587224-0.6220741.4851321.2729720.088636-1.4476801.635271-0.253659-0.044857-1.350973-0.820951
493-0.8536441.2885181.046269-1.6468021.237949-0.314477-1.3044641.045008-0.1175020.7790500.2405321.4223221.195726-0.1100540.955997-0.6244751.158125-0.9976290.8769681.221126
4941.5446160.0085350.952233-0.241615-1.177506-1.607295-1.317755-0.685873-1.506065-1.1296790.5358390.687753-0.6093821.3911570.3142940.3275111.3730210.1868050.9106781.064240
495-0.399076-1.736912-1.4968781.2680971.0488891.5501940.499806-0.696780-1.471697-0.9385371.1962530.584439-1.6737110.3256361.2782271.1898131.4507471.584197-1.0449820.305155
496-1.5835870.0532621.0573080.934868-0.232337-1.4880600.7079621.654346-0.281165-0.757781-1.335866-0.2371701.654511-1.4715370.2197591.5983231.2638791.0801750.248039-0.755816
497-1.248974-0.8426090.216812-1.657450-1.1756280.9543270.943206-1.150248-1.5815610.963898-0.230901-1.150420-0.7751070.485714-1.625872-1.120104-0.9071831.135805-1.002069-1.729584
4980.9825290.743734-0.551793-0.686363-0.9313650.610054-0.3591650.6460011.670071-1.584526-1.263332-0.2574310.806376-0.8594460.991350-1.5071640.473470-0.3072241.549967-0.844052
4990.829341-0.7619650.191978-0.490288-0.016160-0.388312-1.3688770.891484-1.7205561.110103-0.310069-0.7999760.590523-0.0017421.5734230.6143090.908884-0.971638-0.0746950.735642